What is Single Origin?

Trusted by leading companies like Coinbase, Palo Alto Networks, and Roblox, Single Origin delivers AI guardrails essential for enterprise data in the agentic era.

Data complexity is a bottleneck for AI adoption

Enterprises are racing to adopt Agentic AI, but they face a "garbage-in, garbage-out" crisis at scale. LLMs can write queries 100x faster than humans, but they lack the deep system context to do it safely. They generate queries that are syntactically correct but architecturally disastrous—hallucinating metrics and ignoring business logic. Trust is the prerequisite. The industry is obsessed with "optimizing" bad queries after they run. We believe that is too late. The real problem isn't just cost—it's trust. Without a guardrail, AI agents erode trust in the data platform, forcing senior engineers to spend 50% of their time acting as human error-checkers for AI agents (The Velocity Trap).

Why Choose Single Origin

Our distinct value is rooted in Context Engineering and Guardrails:

Context Engineering of Queries: Unlike generic LLMs that guess, our model is trained on your enterprise's unique query history. We engineer the prompt context with your specific data distribution and past execution patterns, ensuring the AI understands why a query was written, not just how to write it.
The "Semantic Guardrail": We don't just make queries faster (optimization); we make them right (guardrails). We are the only platform that blocks hallucinated metrics in the Code Review phase, preventing data corruption before it happens.
Integration Depth: We live where your engineers work—in the PR. We aren't a dashboard you check; we are the automated gatekeeper that reviews code alongside your team.

Customer Success

Coinbase: Achieved significantly improved query efficiency with a projected 10-15% reduction in annual Snowflake costs through our unmatched accuracy, complex query support at scale, and actionable recommendations
Roblox: Identified 50% of metrics and dimensions as unused, successfully dropped 15% of total metrics storage in 6 weeks, eliminated 2.88 billion time series, and saved hundreds of machines' worth of resources

Our Team

We worked as senior data infrastructure leaders from Uber, Snap, Stripe, and Meta, and now we are redefining how modern data teams work.